创建聊天机器人时的文本处理方法

A. Borodin, R. Veynberg, O. Litvishko
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引用次数: 2

摘要

. 作为聊天机器人开发的一部分,处理文本的必要和充分条件是使用各种文本分析方法作为与机器人通信及其训练的输入元素。本文讨论了用于文本分析和文本数据分析模型构建的一些解决方案:词汇化方法、文本向量化、各种机器学习模型。本文的主要重点是不同格式的文本处理方法和使用不同的技术,这为所提议的技术提供了可伸缩性和多功能性,以及未来聊天机器人的整体有效性。对于程序员、文本分析人员和任何对处理文本和开发用于处理文本信息的系统感兴趣的人来说,这篇文章都会很有趣。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
METHODS OF TEXT PROCESSING WHEN CREATING CHATBOTS
. As part of the development of a chatbot, a necessary and sufficient condition for working with text is the use of various methods of text analysis as an input element of communication with the bot and its training. The article deals with a number of solutions used for text analysis and construction of text data analysis models: lemmatization methods, text vectorization, various machine learning models. The main focus of the article is on the methods of text processing in different formats and using different technologies, which provides scalability and versatility of the proposed technology and the effectiveness of the future chatbot as a whole. The article will be interesting for programmers, text analysts and anyone interested in working with text and developing systems for working with text information.
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